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    METHOD TO EXTRACT LOCAL THERMAL FEATURES OF JOINT INFLAMMATION IN THERMAL IMAGING, AND DEVICE IMPLEMENTING SUCH A METHOD
    21.
    发明公开
    METHOD TO EXTRACT LOCAL THERMAL FEATURES OF JOINT INFLAMMATION IN THERMAL IMAGING, AND DEVICE IMPLEMENTING SUCH A METHOD 审中-公开

    公开(公告)号：EP4089578A1

    公开(公告)日：2022-11-16

    申请号：EP21382445.1

    申请日：2021-05-13

    申请人： Singularity Biomed, S.L.

    发明人： MARÍN LÓPEZ, Manuel Alejandro

    IPC分类号： G06K9/20 ,  G06K9/46 ,  G06K9/62 ,  G06F17/18

    摘要： The invention refers to a method for processing of one or more input thermal images (1) of the hands or feet of a subject, to obtain a plurality of local thermal features (7), characteristics of an inflammatory process. Said method comprises acquiring one or more input thermal images (1) with an image acquisition sensor; preprocessing (2) the thermal images (1) to obtain one or more enhanced images (3); and selecting one or more regions of interest (4') of the enhanced images (3). Local thermal features (7) are described from each ROI comprising information about the inflammation of the hands or feet. The invention also comprises a device performing such a method. The device is useful especially in the area of so-called remote patient monitoring.

    HEALTH STATUS TEST METHOD AND DEVICE, AND COMPUTER STORAGE MEDIUM
    26.
    发明公开
    HEALTH STATUS TEST METHOD AND DEVICE, AND COMPUTER STORAGE MEDIUM 审中-公开

    公开(公告)号：EP4074247A1

    公开(公告)日：2022-10-19

    申请号：EP20912646.5

    申请日：2020-12-10

    申请人： Huawei Technologies Co., Ltd.

    发明人： CUI, Xiaoying ,  QIN, Chuan ,  WANG, Xiaomei

    IPC分类号： A61B5/00 ,  G06K9/46

    摘要： A health status detection method and device, and a computer storage medium are provided. A first camera (112) is controlled to collect an environmental image, and detection parameters are obtained from the environmental image. If it is determined that the detection parameters meet detection conditions corresponding to the detection parameters, a second camera (113) or the first camera (112) is controlled to collect a face image, and health status data is generated based on the face image. The first camera (112) collects the environmental image to determine the detection conditions corresponding to the detection parameters, and the second camera (113) or the first camera (112) is controlled to collect the face image to generate the health status data. A user does not need to manually perform health status detection, but health status detection can be automatically performed, to implement senseless health status detection.

    METHOD AND DEVICE FOR CLASSIFYING PIXELS OF AN IMAGE
    30.
    发明公开
    METHOD AND DEVICE FOR CLASSIFYING PIXELS OF AN IMAGE 审中-公开

    公开(公告)号：EP4036792A1

    公开(公告)日：2022-08-03

    申请号：EP21154378.0

    申请日：2021-01-29

    申请人： Aptiv Technologies Limited

    发明人： Freeman, Ido ,  Colling, Pascal

    IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/46

    摘要： A method is provided for classifying pixels of an image. An image comprising a plurality of pixels is captured by a sensor device. A neural network is used for estimating probability values for each pixel, each probability value indicating the probability for the respective pixel being associated with one of a plurality of predetermined classes. One of the classes is assigned to each pixel of the image based on the respective probability values in order to create a predicted segmentation map. For training the neural network, a loss function is generated by relating the predicted segmentation map to ground truth labels. Furthermore, an edge detection algorithm is applied to at least one of the predicted segmentation map and the ground truth labels, wherein the edge detection algorithm predicts boundaries between objects. Generating the loss function is based on a result of the edge detection algorithm.